1 00:00:01,434 --> 00:00:10,476 Carroll Township's a very rural area 2 00:00:16,115 --> 00:00:18,150 in northern Ohio right on Lake Erie. 3 00:00:18,150 --> 00:00:20,586 Lake Erie's always been very important 4 00:00:20,586 --> 00:00:22,455 to Carroll Township and its residents. 5 00:00:22,455 --> 00:00:25,257 We use it for drinking water, we treat it, 6 00:00:25,257 --> 00:00:32,798 and it's really our livelihood. 7 00:00:37,837 --> 00:00:41,273 Lake Erie, for what unknown reason, 8 00:00:41,273 --> 00:00:43,843 suddenly the toxin level spiked and that got 9 00:00:43,843 --> 00:00:46,579 through the treatment system. 10 00:00:46,579 --> 00:00:49,849 It was indicated to me that it is pretty dangerous. 11 00:00:49,849 --> 00:00:54,854 Cyanotoxins can cause skin rashes, headache, nausea, 12 00:00:54,854 --> 00:00:58,424 vomiting, stomach problems, nervous system problems, 13 00:00:58,424 --> 00:01:01,694 liver damage to death. 14 00:01:01,694 --> 00:01:04,697 We sampled and we had about two and a half times the limit 15 00:01:04,697 --> 00:01:07,133 from the World Health Organization. 16 00:01:07,133 --> 00:01:10,669 The second sample was approximately 3.5 times. 17 00:01:10,669 --> 00:01:12,238 Our plant wasn't set 18 00:01:12,238 --> 00:01:14,773 up to handle what was coming in from Lake Erie. 19 00:01:14,773 --> 00:01:17,643 One of my biggest worries was actually hurting someone 20 00:01:17,643 --> 00:01:19,879 or even worse. 21 00:01:19,879 --> 00:01:22,548 So we shut it off right away, shut everything off. 22 00:01:22,548 --> 00:01:24,783 We had a very close call that day. 23 00:01:24,783 --> 00:01:29,488 The last thing you want to do is produce an unsafe water 24 00:01:29,488 --> 00:01:32,791 and allow your people to drink it. 25 00:01:32,791 --> 00:01:35,294 What we need is a better way to track 26 00:01:35,294 --> 00:01:39,665 and predict these cyanobacteria entries from our source water 27 00:01:39,665 --> 00:01:48,207 so that we can make sure that this never happens again. 28 00:01:48,207 --> 00:01:51,310 A lot of times we'll find out after the fact 29 00:01:51,310 --> 00:01:53,646 that there's a problem with cyanobacteria in the water 30 00:01:53,646 --> 00:01:55,714 because the blooms already occur. 31 00:01:55,714 --> 00:01:59,351 We either get results of sick animals or sick people. 32 00:01:59,351 --> 00:02:00,619 We need a paradigm shift. 33 00:02:00,619 --> 00:02:03,689 We need to go from being constantly reactive 34 00:02:03,689 --> 00:02:07,393 to these blooms too having a capability that allows us 35 00:02:07,393 --> 00:02:11,330 to become proactive, and the US Environmental Protection Agency 36 00:02:11,330 --> 00:02:14,366 has been very encouraging of allowing for some high-risk, 37 00:02:14,366 --> 00:02:16,969 high-reward projects and that allowed us 38 00:02:16,969 --> 00:02:20,906 to think outside the box - way outside the box. 39 00:02:23,375 --> 00:02:25,711 We've been fortunate enough to make use of a sensor 40 00:02:25,711 --> 00:02:28,480 on the International Space Station call HICO, which stands 41 00:02:28,480 --> 00:02:31,550 for the Hyperspectral Imager for the Coastal Ocean. 42 00:02:31,550 --> 00:02:35,221 HICO consists of two instruments, one is a camera, 43 00:02:35,221 --> 00:02:38,857 and the second instrument is a spectrophotometer, 44 00:02:38,857 --> 00:02:41,327 which actually gives us the spectrum 45 00:02:41,327 --> 00:02:43,295 of light leaving that water. 46 00:02:43,295 --> 00:02:45,531 The camera on a cell phone for example contains 47 00:02:45,531 --> 00:02:47,666 about three bands and data in a red channel, 48 00:02:47,666 --> 00:02:51,036 a green channel and a blue channel. 49 00:02:51,036 --> 00:02:55,441 HICO gathers light from the red, orange, yellow, green, blue, 50 00:02:55,441 --> 00:02:58,043 indigo, and violet part spectrum. 51 00:02:58,043 --> 00:03:00,913 So using this technology we were able 52 00:03:00,913 --> 00:03:03,916 to now detect those water quality parameters 53 00:03:03,916 --> 00:03:08,254 such as water clarity, what the phytoplankton concentration is 54 00:03:08,254 --> 00:03:11,257 your water, how much light is being absorbed in your water, 55 00:03:11,257 --> 00:03:14,994 as well as what's the distribution of cyanobacteria 56 00:03:14,994 --> 00:03:16,729 in those waters, and does 57 00:03:16,729 --> 00:03:18,631 that concentration pose a health hazard. 58 00:03:18,631 --> 00:03:22,468 So what this means is instead of waiting for someone to report 59 00:03:22,468 --> 00:03:25,004 that there's a problem with cyanobacteria blooms, 60 00:03:25,004 --> 00:03:27,973 we can monitor these water bodies from space, 61 00:03:27,973 --> 00:03:30,476 and get information that we can rapidly get 62 00:03:30,476 --> 00:03:32,945 out to the water quality managers 63 00:03:32,945 --> 00:03:38,384 through a smartphone application that we've developed. 64 00:03:38,384 --> 00:03:40,386 So the app allows you to drop to pinpoint, 65 00:03:40,386 --> 00:03:42,721 and that pin can be placed in an area 66 00:03:42,721 --> 00:03:45,557 where drinking water treatment plant may have an intake, 67 00:03:45,557 --> 00:03:48,093 and see what the current water quality conditions were. 68 00:03:48,093 --> 00:03:50,729 Each user gets that information near real time, 69 00:03:50,729 --> 00:03:53,766 so they can make judgment calls on whether they have 70 00:03:53,766 --> 00:03:56,502 to respond or take action. 71 00:03:56,502 --> 00:03:58,003 Having the HICO 72 00:03:58,003 --> 00:04:01,707 on the International Space Station has been the ideal test 73 00:04:01,707 --> 00:04:04,410 bed for our research. 74 00:04:04,410 --> 00:04:05,744 This is an amazing partnership. 75 00:04:05,744 --> 00:04:09,381 The Naval Research Laboratory had HICO 76 00:04:09,381 --> 00:04:11,884 on NASA's International Space Station. 77 00:04:11,884 --> 00:04:14,586 As HICO acquired a scene, it was transferred 78 00:04:14,586 --> 00:04:16,021 to the Naval Research Laboratory, 79 00:04:16,021 --> 00:04:18,957 and then the Environmental Protection Agency was able 80 00:04:18,957 --> 00:04:20,626 to do the analysis and validation 81 00:04:20,626 --> 00:04:22,661 to send this information 82 00:04:22,661 --> 00:04:25,931 out through a prototype mobile application. 83 00:04:27,132 --> 00:04:29,535 Yes, this technology will reduce costs 84 00:04:29,535 --> 00:04:32,037 and provide near real-time information. 85 00:04:32,037 --> 00:04:35,407 But the big goal here is protecting humans